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cs.AI2026

Learning Adaptive Parallel Execution for Efficient Code Localization

Ke Xu, Siyang Xiao, Ming Liang +6

Code localization constitutes a key bottleneck in automated software development pipelines. While concurrent tool execution can enhance discovery speed, current agents demonstrate…

cs.AI2026

Towards Scalable Lightweight GUI Agents via Multi-role Orchestration

Ziwei Wang, Junjie Zheng, Leyang Yang +7

Autonomous Graphical User Interface (GUI) agents powered by Multimodal Large Language Models (MLLMs) enable digital automation on end-user devices. While scaling both parameters an…

cs.AI2026

Securing the Floor and Raising the Ceiling: A Merging-based Paradigm for Multi-modal Search Agents

Zhixiang Wang, Jingxuan Xu, Dajun Chen +3

Recent advances in Vision-Language Models (VLMs) have motivated the development of multi-modal search agents that can actively invoke external search tools and integrate retrieved…

cs.AI2025

ProBench: Benchmarking GUI Agents with Accurate Process Information

Leyang Yang, Ziwei Wang, Xiaoxuan Tang +4

With the deep integration of artificial intelligence and interactive technology, Graphical User Interface (GUI) Agent, as the carrier connecting goal-oriented natural language and…

cs.AI2025

History-Aware Reasoning for GUI Agents

Ziwei Wang, Leyang Yang, Xiaoxuan Tang +4

Advances in Multimodal Large Language Models have significantly enhanced Graphical User Interface (GUI) automation. Equipping GUI agents with reliable episodic reasoning capabiliti…